Uncover key drivers, emerging technologies, and competitive movements shaping the radiation therapy planning artificial intelligence (ai) market from 2026–2035 with trusted insights from The Business Research Company
What growth pattern is forecast for the Radiation Therapy Planning Artificial Intelligence (AI) Market size between 2026 and 2035?
The market size of radiation therapy planning artificial intelligence (AI) has experienced rapid expansion in recent years. This market is projected to expand from $1.45 billion in 2025 to reach $1.79 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 23.9%. Historically, this expansion has been driven by factors such as the increasing uptake of AI-based radiotherapy solutions, a growing need for personalized cancer treatments, the rising implementation of automation in radiation planning, the proliferation of oncology centers in developed areas, and a heightened emphasis on enhancing treatment precision.
The radiation therapy planning artificial intelligence (AI) market is anticipated to show significant expansion in the coming years. It will grow to $4.18 billion in 2030 at a compound annual growth rate (CAGR) of 23.6%. This expected growth during the forecast period can be attributed to the increasing adoption of cloud-based AI platforms, rising investment in healthcare digitalization, a growing need for multi-cancer AI planning tools, an expansion of research and development in oncology AI, and increasing uptake in developing markets. Major developments projected for the forecast period include technological progress in AI-driven contouring and dose calculation, innovations in cloud-based radiation therapy platforms, the creation of predictive models for treatment outcomes, ongoing research and development in adaptive radiotherapy, and advancements in workflow automation and quality assurance.
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Which Drivers Are Impacting Market Performance In The Radiation Therapy Planning Artificial Intelligence (AI) Market?
An increasing emphasis on personalized and precision radiation therapy is anticipated to drive the expansion of the radiation therapy planning artificial intelligence (AI) market in the future. This type of therapy involves customizing radiation dosage, delivery methods, and treatment plans according to each patient’s unique tumor attributes and anatomical structure. The heightened interest in personalized and precision radiation therapy stems from healthcare professionals’ efforts to enhance tumor eradication and reduce harm to healthy tissues, achieved by adjusting the dose, targeting, and timing for individual tumor biology and anatomy. Radiation therapy planning AI facilitates this approach by providing automated solutions capable of creating optimal, patient-specific treatment plans more rapidly and consistently than conventional manual processes. For example, in May 2024, the Department for Health and Social Care, a UK government body, reported that all National Health Service radiotherapy departments in England received artificial intelligence technology via £15.5 million in government funding. This technology autonomously reviews scans, identifying cancerous cells and healthy organs 2.5 times faster than prior techniques, showcasing an increasing embrace of precision radiotherapy. Consequently, the growing emphasis on personalized and precision radiation therapy is a key factor propelling the expansion of the radiation therapy planning artificial intelligence (AI) market.
Which Segments Are Contributing To The Growth Of The Radiation Therapy Planning Artificial Intelligence (AI) Market?
The radiation therapy planning artificial intelligence (AI) market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Technology: Machine Learning (ML), Deep Learning (DL), Knowledge-Based Planning (KBP)
3) By Deployment Mode: On-Premises, Cloud-Based
4) By Application: Breast Cancer, Lung Cancer, Prostate Cancer, Head And Neck Cancer, Other Applications
5) By End-User: Hospitals, Cancer Treatment Centers, Research Institutes, Other End-Users
Subsegments:
1) By Software: Automated Contouring Software, Dose Prediction Software, Plan Optimization Software, Quality Assurance Software, Outcome Analytics Software
2) By Hardware: Graphics Processing Unit Servers, High Performance Computing Clusters, Dedicated Workstation Hardware, Edge Computing Devices
3) By Services: Implementation And Integration Services, Training And Support Services, Data Management Services, Clinical Validation Services
What Trends Are Expected To Impact The Competitive Landscape Of The Radiation Therapy Planning Artificial Intelligence (AI) Market?
Major companies operating in the radiation therapy planning artificial intelligence (AI) market are actively developing advanced solutions, including AI-driven automation and integrated tools, to improve precision, boost clinical efficiency, and cut down manual planning time. These AI-driven automation and integrated tools refer to sophisticated algorithms that streamline complex treatment planning processes, minimizing user intervention and variability. For instance, in July 2024, RaySearch Laboratories AB, a Sweden-based medical technology company, introduced the RayStation 2024B treatment planning system. This comprehensive platform features advanced AI-based auto-contouring and a new Proton Monte Carlo dose calculation engine for exceptional accuracy. It incorporates automated tools for adaptive therapy and plan optimization, enabling seamless integration of MR-Linac workflows and simplified proton beam therapy planning without extensive manual effort. The system also includes enhanced scripting and module integration, thereby extending its versatility and reducing operational complexity for oncology clinics and research institutions.
Who Are The Primary Competitors In The Global Radiation Therapy Planning Artificial Intelligence (AI) Market?
Major companies operating in the radiation therapy planning artificial intelligence (AI) market are Philips Healthcare, Siemens Healthineers AG, Elekta AB, Brainlab SE, Accuray Incorporated, RaySearch Laboratories AB, GE HealthCare, MVision AI, Spectra Medical India Pvt. Ltd., Coexya, LAP GmbH Laser Applikationen, Radformation Inc., TheraPanacea, DOSIsoft SA, Siris Medical Inc., Prowess Inc., Manteia Medical Technologies, Oncora Medical Inc., Adaptiiv Medical Technologies Inc., ViewRay Systems Inc., Pvmed Inc., Doctors App, Mirada Medical Ltd., Vision RT Ltd.
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Which Global Regions Are Shaping The Competitive Landscape Of The Radiation Therapy Planning Artificial Intelligence (AI) Market?
North America was the largest region in the radiation therapy planning artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the radiation therapy planning artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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